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• W2951482006 abstract "Polynomial multiplication is the basic and most computationally intensive operation in ring-Learning With Errors (ring-LWE) encryption and “Somewhat” Homomorphic Encryption (SHE) cryptosystems. In this paper, the Fast Fourier Transform (FFT) with a linearithmic complexity of O(n logn), is exploited in the design of a high-speed polynomial multiplier. A constant geometry FFT datapath is used in the computation to simplify the control of the architecture. The contribution of this work is three-fold. First, parameter sets which support both an efficient modular reduction design and the security requirements for ring-LWE encryption and SHE are provided. Second, a versatile pipelined architecture accompanied with an improved dataflow are proposed to obtain a high-speed polynomial multiplier. Third, the proposed architecture supports polynomial multiplications for different lengths n and moduli p. The experimental results on a Spartan-6 FPGA show that the proposed design results in a speedup of 3.5 times on average when compared with the state of the art. It performs a polynomial multiplication in the ring-LWE scheme (n = 256, p = 1049089) and the SHE scheme (n = 1024, p = 536903681) in only 6.3μs and 33.1μs, respectively." @default.
• W2951482006 created "2019-06-27" @default.
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• W2951482006 date "2014-01-01" @default.
• W2951482006 modified "2023-09-24" @default.
• W2951482006 title "High-speed Polynomial Multiplication Architecture for Ring-LWE and SHE Cryptosystems." @default.
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